Sentence examples for predictions are interesting from inspiring English sources
Ab initio motif-finding and prediction of binding sites using DWMs, and the usage of homologous sequence from related species to improve predictions, are interesting topics that deserves to be addressed in the near future, perhaps as extensions of the PhyloGibbs program [29], [30].
Although the application on a library of helix mimetics is essentially proprietary (structures of active compounds cannot be shown), the statistics of the predictions are interesting.
Table 2 shows the AUC (area under the ROC curve), sensitivity, specificity and PPV (positive predictive value) when the upper one percentile in the prediction score is chosen as a threshold, because high-confidence prediction results are interesting in practical applications.
The upper one percentile in the prediction score is chosen as a threshold for computing sensitivity, specificity and PPV, because high-confidence prediction results are interesting in practical applications.
The GA searches for prediction rules that are interesting in the sense of being new and surprising for the user.
The reported predictions are quite interesting, but the paper as a whole seems very hastily written, often consisting of a sequence of brief paragraphs.
The consistency of rubble pile global strength measurements with predictions from the regolith strength theory are interesting and provocative, although they do not establish that the theory as outlined herein is in fact true.
The predictions generated by the present model are interesting in that intervention at the level of the receptors had little effect.
ROC style predictions would be interesting and doable, if only the datasets were larger.
Although these findings are only the result of model predictions, it is interesting to view them in relation to results published by Szijarto et al. [ 35], who identified EG2 (Cel5as as a key component for the liquefaction of pretreated wheat straw.
Multi-user game theory-based approaches are interesting candidates for multi-user spectrum prediction.
